Feast

#9 in MLOps Platforms

Open-source feature store for defining, storing, and serving ML features consistently across training and inference.

Overview

Open-source feature store for defining, storing, and serving ML features consistently across training and inference. It is tracked in MLOps Platforms for MM teams. Feast ranks #9 with a 4.3 AI visibility score and appears in 2 of 38 eligible answers. The profile combines category ranking, AI visibility, citation sources, and related-product context for buyers.

AI visibility

2/38 eligible runs

Where the score comes from: per-assistant visibility, the weekly trend, and the domains cited in tracked buyer answers.

Score by assistant

All assistants4.3

ChatGPT0.0

Claude10.8

Gemini0.0

Google Ai Mode10.7

Perplexity0.0

Weekly trend

Jul 20Jul 20

Who it is for

A practical fit map: the teams, organization sizes, and industries the available evidence points to.

Company profile

Mid-market

Leaderboard

MLOps Platforms

Every product ranked in this category, scored by visibility in buyer-focused AI answers.

#1MLflow43.8→#2Azure Machine Learning39.5→#3Databricks35.1→#4Weights & Biases17.3→#5Kubeflow10.2→#6Arize AI7.5→#7Neptune.ai7.2→#8ClearML4.6→

Turn insight into action

Improve Feast's AI visibility

Use Slate to monitor Feast over time, understand the source and positioning gaps that influence recommendations, and prioritize what to improve next.

Monitor visibilityFind recommendation gapsPrioritize next actions